Suman Debnath, Principal Developer Advocate At AWS On Architecting Modern AI With Retrieval-Augmente (Computers - Information Technologies)
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Suman Debnath, Principal Developer Advocate At AWS On Architecting Modern AI With Retrieval-Augmente | |
Retrieval-Augmented Generation, or RAG, isn’t just another AI buzzword — it’s fast becoming the foundation for building scalable, production-grade generative AI systems. In the latest episode of Discover Dialogues, we sit down with Suman Debnath, Principal Developer Advocate for Machine Learning at Amazon Web Services (AWS), to unpack the future of intelligent agents, the critical role of retrieval, and how multimodal capabilities are revolutionizing enterprise AI deployment. Suman, with over 100 speaking sessions under his belt at global events like PyCon, PyData, ODSC, and AWS re:Invent, brings a rare mix of technical depth and the ability to demystify complex AI concepts for developers and business leaders alike. The Core Insight: Retrieval Before Generation One of the key takeaways from this conversation is simple yet profound — AI hallucinations aren’t fundamentally a model issue; they stem from faulty retrieval. As Suman puts it with a relatable analogy, “If your librarian hands you the wrong book, it doesn’t matter how carefully you read — you won’t find the correct answer.” The same applies to GenAI models pulling incomplete or inaccurate data into their generation processes. This is where RAG makes a difference — grounding AI models with accurate, real-time, external data sources like PDFs, product catalogs, internal knowledge bases, or IoT sensor data to enhance output reliability. For the full interview, check it out on TechDogs here: Discover Dialogues: Suman Debnath on Architecting Modern AI with RAG. The Future: Multimodal AI Agents and Agentic RAG Suman also explores what lies ahead — combining RAG with Vision-Language Models to create truly multimodal AI systems. As businesses strive to integrate structured data with unstructured formats like images, documents, and even audio, conventional retrieval methods fall short. Here, Suman introduces Colpali, a novel framework designed to enhance multimodal search and decision-making. Imagine an AI that can process a form, interpret charts, read accompanying documents, and make decisions — that’s the power of multimodal AI, already transforming industries such as healthcare, logistics, and financial services. Why You Should Tune In This isn’t just a theoretical discussion — it’s a roadmap for: Product and engineering teams embedding GenAI into applications Business leaders and CXOs making future-proof AI investments Technical decision-makers evaluating AI infrastructure Suman’s down-to-earth style, technical clarity, and practical insights make this a must-listen episode for anyone navigating the fast-paced, often overwhelming world of generative AI. | |
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2025-07-09 (1.449 sec)